J
Julián Moreno-Schneider
Researcher at German Research Centre for Artificial Intelligence
Publications - 23
Citations - 316
Julián Moreno-Schneider is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Workflow & Digital content. The author has an hindex of 9, co-authored 23 publications receiving 208 citations.
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Book ChapterDOI
Fine-Grained Named Entity Recognition in Legal Documents
TL;DR: The work presented in this paper was carried out under the umbrella of the European project LYNX that develops a semantic platform that enables the development of various document processing and analysis applications for the legal domain.
Posted Content
Enriching BERT with Knowledge Graph Embeddings for Document Classification
TL;DR: Building upon BERT, a deep neural language model, it is demonstrated how to combine text representations with metadata and knowledge graph embeddings, which encode author information.
Book ChapterDOI
Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication
TL;DR: This contribution evaluates a set of classification algorithms on two types of user-generated online content (tweets and Wikipedia Talk comments) in two languages (English and German) and focuses on classifying the data according to the annotated characteristics using several text classification algorithms.
Book ChapterDOI
Towards a Platform for Curation Technologies: Enriching Text Collections with a Semantic-Web Layer
Peter Bourgonje,Julián Moreno-Schneider,Jan Nehring,Georg Rehm,Felix Sasaki,Ankit Srivastava +5 more
TL;DR: The platform is intended to enable human experts (knowledge workers) to get a grasp and understand the contents of large document collections in an efficient way so that they can curate, process and further analyse the collection according to their sector-specific needs.
Book ChapterDOI
Designing User Interfaces for Curation Technologies
TL;DR: A platform that provides curation services that can be integrated into concrete curation or content management systems and a user interface that is currently under development at ART+COM, one of the SME partners in the project.